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Big Data Testing Jobs (NOW HIRING)

Chicago, IL/Richardson, TX Skill Set: ETL/DWH testing, Big data testing Technical Requirements: * Minimum 6 years of experience in ETL Testing & Big data Testing * Should have experience in Data ...

Big Data Engineer

Costa Mesa, CA ยท On-site

$59.75 - $79/hr

Big Data Engineer Costa Mesa , CA or PHX or Bay Area Contract Job Responsibilities 10+ years of experience in analysis, coding, implementation and testing of Big Data Applications (API & Batch) on ...

Big Data Engineer

$57 - $75.50/hr

... testing activities. โ€ข At least 4-7+ years of industry experience in Big Data Domain Education: โ€ข MS/BS minimum in the areas of Computer Science, Computer engineering, or other related fields or ...

Big Data Engineer

Houston, TX ยท On-site

$53.25 - $70.50/hr

Software Engineer (Big Data) Duration: 3-6 Months CTH Location: Houston/Plano , TX This is a W2 ... testing, deployment, maintenance and improvement of software. Anthony Kay

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Big Data Testing information

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$15

$62

$88

How much do big data testing jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for big data testing in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is Big Data Testing?

Big Data Testing is the process of verifying and validating the quality, accuracy, and reliability of large and complex data sets and the systems that process them. It involves testing data ingestion, processing, storage, and retrieval to ensure that big data applications function as expected. This type of testing also checks for data integrity, performance, and scalability issues in big data environments such as Hadoop, Spark, or NoSQL databases. The goal is to ensure that data-driven applications deliver correct and meaningful insights.

How much do website testers get paid?

Website testers, including those involved in big data testing, typically earn between $15 and $40 per hour depending on experience, location, and complexity of the testing tasks. Entry-level testers may earn closer to the lower end, while experienced testers with skills in automation tools and data analysis can command higher rates or salaries, often working full-time or freelance schedules.

What is a big data tester?

A big data tester is a professional responsible for verifying the accuracy, performance, and reliability of large-scale data systems. They use tools like Hadoop, Spark, and SQL to test data processing workflows and ensure data quality in environments that handle massive volumes of information.

What is the difference between Big Data Testing vs Data Analyst?

AspectBig Data TestingData Analyst
Required SkillsData validation, scripting, understanding of big data toolsData interpretation, SQL, visualization skills
Work EnvironmentTesting environments, big data platforms like Hadoop, SparkData analysis platforms, BI tools, databases
CertificationsBig Data certifications, ISTQB, testing-focused credentialsData analysis certifications, SQL, Tableau
Industry UsageQuality assurance in big data projectsBusiness insights, reporting, decision-making

Big Data Testing focuses on validating data quality, performance, and integrity within big data systems, requiring testing skills and knowledge of big data tools. Data Analysts interpret and visualize data to support business decisions, emphasizing analytical skills and data visualization. While both roles work with large datasets, Big Data Testing ensures system reliability, whereas Data Analysts focus on deriving insights from data.

What are some common challenges faced by professionals in Big Data Testing, and how can they be addressed?

One common challenge in Big Data Testing is ensuring data quality and accuracy when dealing with vast, complex datasets that often span multiple sources and formats. Testers must also handle performance and scalability issues, as big data platforms process information at high volumes and speeds. Collaborating closely with data engineers and developers is essential to understand data flows and system architecture. To address these challenges, testers often use automation tools, develop robust test strategies, and continually update their skills to keep pace with evolving big data technologies.

What is big data salary?

The salary for a Big Data Testing professional varies based on experience, location, and skill set, but typically ranges from $70,000 to $130,000 annually. Professionals with expertise in tools like Hadoop, Spark, and data validation often command higher salaries, especially with certifications and experience in data quality assurance.

What are the key skills and qualifications needed to thrive as a Big Data Tester, and why are they important?

To thrive as a Big Data Tester, you need a solid understanding of data analytics, software testing methodologies, and a background in computer science or information technology. Familiarity with big data tools such as Hadoop, Spark, Hive, SQL, as well as automation frameworks and scripting languages like Python or Java, is typically required. Attention to detail, analytical thinking, and strong problem-solving abilities are crucial soft skills for identifying data issues and ensuring data quality. These skills are essential to validate large-scale data systems effectively, ensuring reliability, accuracy, and performance in data-driven projects.

Is big data a good career?

Big Data Testing is a specialized role that involves validating large datasets and data processing pipelines to ensure accuracy and performance. It requires skills in data analysis, scripting, and familiarity with tools like Hadoop or Spark. The demand for professionals in this field is growing as organizations increasingly rely on big data for decision-making.
More about Big Data Testing jobs
What states have the most Big Data Testing jobs? States with the most job openings for Big Data Testing jobs include:
Infographic showing various Big Data Testing job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.
ETL and Big Data Technical Test Lead-Onsite

ETL and Big Data Technical Test Lead-Onsite

ClifyX

Rosemead, CA โ€ข On-site

Other

Posted 12 days ago


Key responsibilities

  • Develop data migration testing strategies, test plans, and estimations, and implement them.

  • Coordinate, communicate, and report within a team and across multiple stakeholders.


Job description

ETL And Big Data Technical Test Lead

Number of Openings: 2

Duration of Hiring: 6 months

Work Location: Rosemead, California, US

No of years' experience:

  • At least 5 years of Data warehouse testing experience
  • At least 1 years of Big Data testing experience
  • At least 4 years of experience in writing complex SQLs

Detailed job description:

Skill Set:

  • Expertize in developing data migration testing strategies, test plans, estimations and implement them.
  • Should have strong co-ordination, communication & reporting, analytical skills
  • Should have strong leadership skills
  • Ability to work in team in diverse/ multiple stakeholder environment
  • Experience and desire to work in a Global delivery environment

Technical Skills:

  • Strong expertise in Oracle DB, Hadoop/Hive, Cloud-Snow flake, Power BI and Talend- ETL tool.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998